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authorKarl Lorey <git@karllorey.com>2020-09-28 18:40:21 +0200
committerKarl Lorey <git@karllorey.com>2020-09-28 18:40:21 +0200
commitccb59a0aa53b77def69155b331f63a92e16bec19 (patch)
treef723c1ff0048852b5f4e66ec86b85c5a82d88b90
parentfa9741426b99fe9444529b9d813d77474c5d8cbf (diff)
Update readme with improved description
-rw-r--r--README.rst15
1 files changed, 8 insertions, 7 deletions
diff --git a/README.rst b/README.rst
index b9ae144..d57fbed 100644
--- a/README.rst
+++ b/README.rst
@@ -1,13 +1,7 @@
==================================================================================
-Turn HTML intro structured data automatically with Machine Learning with mlscraper
+mlscraper: Scrape data from HTML pages automatically with Machine Learning
==================================================================================
-.. image:: .github/how-it-works.png
-
-`mlscraper` allows you to extract structured data from HTML automatically with Machine Learning.
-You train it by providing a few examples of your desired output.
-It will then be able to extract this information from any new page you provide.
-
.. image:: https://img.shields.io/travis/lorey/mlscraper :alt: Travis (.org)
:target: https://travis-ci.org/github/lorey/mlscraper
@@ -17,6 +11,13 @@ It will then be able to extract this information from any new page you provide.
.. image:: https://img.shields.io/pypi/pyversions/mlscraper :alt: PyPI - Python Version
:target: https://pypi.org/project/mlscraper/
+`mlscraper` allows you to extract structured data from HTML automatically with Machine Learning.
+You train it by providing a few examples of your desired output.
+It will then figure out the extraction rules for you automatically
+and afterwards you'll be able to extract data from any new page you provide.
+
+.. image:: .github/how-it-works.png
+
----------------
Background Story
----------------